Auxiliary training system based on human body posture estimation algorithm

The invention discloses an auxiliary training system based on a human body posture estimation algorithm. The system is achieved through the steps that firstly, a binary outline image of a human body is detected and extracted from a monocular video on the basis of a background modeling method of a ViBe model; secondly, a outline edge graph of the image is obtained through a Canny edge detection algorithm; thirdly, coordinates of 15 main joint points of the human body in the image are acquired through the image processing methods such as horizontal line scanning and human body length ratio constraining; fourthly, on the above basis, the auxiliary training system is built, five joint angels formed by the 15 joint points are adopted as training indexes, the Euclidean distance is adopted as the similarity measure of postures, and the two auxiliary indexes of the joint angle track and the posture similarity are taken as system output. According to the auxiliary training system based on the human body posture estimation algorithm, analysis and contrast of the athlete postures are achieved by quantitatively analyzing the motion characteristics, therefore, the athlete level and grades are scientifically increased, and physical training can get rid of the state of purely depending on experience.